ARIMA

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

详细介绍了混沌时间序列的分析及应用,并给出了具体的例子。(describing the applycation of chaotic time series and giving some examples.)

This is the MATLAB for the DSP working behind FM transmitters in FPGAs etc.

此程序用于求非平稳信号的关联维数，最适用于原始信号的维数较低的情况(This procedure used for non-stationary signal correlation dimension, the most suitable for the original signal in the case of low dimension)

fisher方法的matlab程序,希望对大家有用(fisher method s matlab program, hope to benefit everyone)

计算区域中心及最大面积切割程序，matlab版(Calculation of regional centers and the largest area of cutting process, matlab version)

calculating coefficients

用于求解多个相干信号源的波达方向的子空间平滑算法(Subspace smoothing algorithm for solving the direction of arrival of multiple coherent sources )

说明：  color image watermarking using DCT and DWT

标准AM调制，ma不同值时的AM振幅调制(Standard AM modulation, ma different values ​ ​ of amplitude modulation AM)